Search Results for author: Xingjian Du

Found 15 papers, 6 papers with code

Exploring Tokenization Methods for Multitrack Sheet Music Generation

no code implementations23 Oct 2024 Yashan Wang, Shangda Wu, Xingjian Du, Maosong Sun

This study explores the tokenization of multitrack sheet music in ABC notation, introducing two methods--bar-stream and line-stream patching.

Computational Efficiency Music Generation

Joint Music and Language Attention Models for Zero-shot Music Tagging

no code implementations16 Oct 2023 Xingjian Du, Zhesong Yu, Jiaju Lin, Bilei Zhu, Qiuqiang Kong

However, previous music tagging research primarily focuses on close-set music tagging tasks which can not be generalized to new tags.

Audio Tagging Decoder +1

ByteCover3: Accurate Cover Song Identification on Short Queries

no code implementations21 Mar 2023 Xingjian Du, Zijie Wang, Xia Liang, Huidong Liang, Bilei Zhu, Zejun Ma

Deep learning based methods have become a paradigm for cover song identification (CSI) in recent years, where the ByteCover systems have achieved state-of-the-art results on all the mainstream datasets of CSI.

Cover song identification Retrieval

Graph Contrastive Learning with Implicit Augmentations

1 code implementation7 Nov 2022 Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao

Existing graph contrastive learning methods rely on augmentation techniques based on random perturbations (e. g., randomly adding or dropping edges and nodes).

Contrastive Learning Graph Classification +1

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

1 code implementation2 Feb 2022 Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov

To combat these problems, we introduce HTS-AT: an audio transformer with a hierarchical structure to reduce the model size and training time.

Audio Classification Event Detection +3

ByteCover: Cover Song Identification via Multi-Loss Training

1 code implementation27 Oct 2020 Xingjian Du, Zhesong Yu, Bilei Zhu, Xiaoou Chen, Zejun Ma

We present in this paper ByteCover, which is a new feature learning method for cover song identification (CSI).

Cover song identification Triplet

Contrastive Unsupervised Learning for Audio Fingerprinting

no code implementations26 Oct 2020 Zhesong Yu, Xingjian Du, Bilei Zhu, Zejun Ma

The rise of video-sharing platforms has attracted more and more people to shoot videos and upload them to the Internet.

Contrastive Learning

RepGN:Object Detection with Relational Proposal Graph Network

no code implementations18 Apr 2019 Xingjian Du, Xuan Shi, Risheng Huang

Region based object detectors achieve the state-of-the-art performance, but few consider to model the relation of proposals.

General Classification Graph Learning +4

End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking

no code implementations2 Jan 2019 Xingjian Du, Mengyao Zhu, Xuan Shi, Xinpeng Zhang, Wen Zhang, Jingdong Chen

The experiments comparing ourCSM based end-to-end model with other methods are conductedto confirm that the CSM accelerate the model training andhave significant improvements in speech quality.

Speech Enhancement

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